IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i5p2495-d509674.html
   My bibliography  Save this article

Relationship between Mental Health and House Sharing: Evidence from Seoul

Author

Listed:
  • Jihun Oh

    (Department of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan 44919, Korea)

  • Jeongseob Kim

    (Department of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan 44919, Korea)

Abstract

While the association between general housing and mental health has been well documented, little is known about the mental health outcomes of house sharing. As shared housing has been viewed as an economically and socially viable housing option for young adults, a broader understanding of how shared housing affects the residents’ quality of life, including mental health, is needed. In this context, this study aims to provide empirical evidence about the relationship between mental health and house sharing after controlling for residents’ self-selection. We conducted a survey of 834 young single adults living in shared housing and non-shared housing in Seoul, Korea. Then, to control for residential self-selection, we applied the residential dissonance framework. The main findings of this study were two-fold: first, house-sharers with a positive attitude toward shared housing were more likely to respond that their mental health status improved after they started residing in shared housing; second, if young adults are forced to live in shared housing, this could increase the potential risk of social dysfunction of house-sharers. Based on these findings, we suggest policy measures for shared housing, including pre-occupancy interviews, resident behavior codes, and fostering a livable dwelling environment to ensure a healthier life in shared living arrangements.

Suggested Citation

  • Jihun Oh & Jeongseob Kim, 2021. "Relationship between Mental Health and House Sharing: Evidence from Seoul," IJERPH, MDPI, vol. 18(5), pages 1-13, March.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:5:p:2495-:d:509674
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/5/2495/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/5/2495/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Phillips, David R. & Siu, Oi-ling & Yeh, Anthony G.O. & Cheng, Kevin H.C., 2005. "The impacts of dwelling conditions on older persons' psychological well-being in Hong Kong: the mediating role of residential satisfaction," Social Science & Medicine, Elsevier, vol. 60(12), pages 2785-2797, June.
    2. Swope, Carolyn B. & Hernández, Diana, 2019. "Housing as a determinant of health equity: A conceptual model," Social Science & Medicine, Elsevier, vol. 243(C).
    3. Cao, Jason, 2014. "Residential self-selection in the relationships between the built environment and travel behavior: Introduction to the special issue," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(3), pages 1-3.
    4. Schwanen, Tim & Mokhtarian, Patricia L., 2005. "What if You Live in the Wrong Neighborhood? The Impact of Residential Neighborhood Type Dissonance on Distance Traveled," University of California Transportation Center, Working Papers qt5hh713d6, University of California Transportation Center.
    5. Cho, Gi-Hyoug & Rodríguez, Daniel A., 2014. "The influence of residential dissonance on physical activity and walking: evidence from the Montgomery County, MD, and Twin Cities, MN, areas," Journal of Transport Geography, Elsevier, vol. 41(C), pages 259-267.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bo-Kyong Seo & Gum-Ryeong Park, 2021. "Housing, Living Arrangements and Mental Health of Young Adults in Independent Living," IJERPH, MDPI, vol. 18(10), pages 1-10, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Phani Kumar, P. & Ravi Sekhar, Ch. & Parida, Manoranjan, 2018. "Residential dissonance in TOD neighborhoods," Journal of Transport Geography, Elsevier, vol. 72(C), pages 166-177.
    2. Kajosaari, Anna & Hasanzadeh, Kamyar & Kyttä, Marketta, 2019. "Residential dissonance and walking for transport," Journal of Transport Geography, Elsevier, vol. 74(C), pages 134-144.
    3. van de Coevering, Paul & Maat, Kees & van Wee, Bert, 2018. "Residential self-selection, reverse causality and residential dissonance. A latent class transition model of interactions between the built environment, travel attitudes and travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 466-479.
    4. Wolday, Fitwi & Cao, Jason & Næss, Petter, 2018. "Examining factors that keep residents with high transit preference away from transit-rich zones and associated behavior outcomes," Journal of Transport Geography, Elsevier, vol. 66(C), pages 224-234.
    5. Cao, Xinyu (Jason), 2015. "Heterogeneous effects of neighborhood type on commute mode choice: An exploration of residential dissonance in the Twin Cities," Journal of Transport Geography, Elsevier, vol. 48(C), pages 188-196.
    6. De Vos, Jonas & Singleton, Patrick A., 2020. "Travel and cognitive dissonance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 525-536.
    7. Huang, Xiaoyan & Cao, Xinyu (Jason) & Cao, Xiaoshu & Yin, Jiangbin, 2016. "How does the propensity of living near rail transit moderate the influence of rail transit on transit trip frequency in Xi'an?," Journal of Transport Geography, Elsevier, vol. 54(C), pages 194-204.
    8. Kamruzzaman, Md. & Giles-Corti, Billie & De Vos, Jonas & Witlox, Frank & Shatu, Farjana & Turrell, Gavin, 2021. "The life and death of residential dissonants in transit-oriented development: A discrete time survival analysis," Journal of Transport Geography, Elsevier, vol. 90(C).
    9. Kamruzzaman, Md. & Baker, Douglas & Washington, Simon & Turrell, Gavin, 2013. "Residential dissonance and mode choice," Journal of Transport Geography, Elsevier, vol. 33(C), pages 12-28.
    10. Shi Chen & Yi Sun & Bo Kyong Seo, 2022. "The Effects of Public Open Space on Older People’s Well-Being: From Neighborhood Social Cohesion to Place Dependence," IJERPH, MDPI, vol. 19(23), pages 1-16, December.
    11. Houshmand Masoumi, 2021. "Residential Location Choice in Istanbul, Tehran, and Cairo: The Importance of Commuting to Work," Sustainability, MDPI, vol. 13(10), pages 1-18, May.
    12. Scheiner, Joachim, 2010. "Social inequalities in travel behaviour: trip distances in the context of residential self-selection and lifestyles," Journal of Transport Geography, Elsevier, vol. 18(6), pages 679-690.
    13. Groves, Allison K. & Smith, Patrick D. & Gebrekristos, Luwam T. & Keene, Danya E. & Rosenberg, Alana & Blankenship, Kim M., 2022. "Eviction, intimate partner violence and HIV: Expanding concepts and assessing the pathways through which sexual partnership dynamics impact health," Social Science & Medicine, Elsevier, vol. 305(C).
    14. Min Zhou & Wei Guo, 2023. "Self-rated Health and Objective Health Status Among Rural-to-Urban Migrants in China: A Healthy Housing Perspective," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(1), pages 1-24, February.
    15. Lijian Xie & Suhong Zhou & Lin Zhang, 2021. "Associations between Objective and Subjective Housing Status with Individual Mental Health in Guangzhou, China," IJERPH, MDPI, vol. 18(3), pages 1-14, January.
    16. Kim, Sung Hoo & Mokhtarian, Patricia L., 2023. "Comparisons of observed and unobserved parameter heterogeneity in modeling vehicle-miles driven," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    17. Lei Kang & Zhaoping Yang & Yunxiao Dang & Wenzhong Zhang & Caicai Liu, 2022. "Can Tourism Development Make Cities More Livable? Investigating 40 Cities in China," IJERPH, MDPI, vol. 19(1), pages 1-17, January.
    18. Pot, Felix Johan & Koster, Sierdjan & Tillema, Taede, 2023. "Perceived accessibility and residential self-selection in the Netherlands," Journal of Transport Geography, Elsevier, vol. 108(C).
    19. Lin, Tao & Wang, Donggen & Guan, Xiaodong, 2017. "The built environment, travel attitude, and travel behavior: Residential self-selection or residential determination?," Journal of Transport Geography, Elsevier, vol. 65(C), pages 111-122.
    20. João De Abreu e Silva, 2018. "The Effects of Land-Use Patterns on Home-Based Tour Complexity and Total Distances Traveled: A Path Analysis," Sustainability, MDPI, vol. 10(3), pages 1-16, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:5:p:2495-:d:509674. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.